Sequence-to-point learning with neural networks for nonintrusive load monitoring

8 code implementations • 29 Dec 2016 • Chaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel Goddard, Charles Sutton

Interestingly, we systematically show that the convolutional neural networks can inherently learn the signatures of the target appliances, which are automatically added into the model to reduce the identifiability problem.

blind source separation